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首页> 外文会议>International Conference on Computational Methods in Systems Biology >Detection of Multi-clustered Genes and Community Structure for the Plant Pathogenic Fungus Fusarium graminearum
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Detection of Multi-clustered Genes and Community Structure for the Plant Pathogenic Fungus Fusarium graminearum

机译：检测植物病原菌镰刀菌植物血管素的多聚簇基因及群落结构

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摘要

Exploring the community structure of biological networks can reveal the roles of individual genes in the context of the entire biological system, so as to understand the underlying mechanism of interaction. In this study we explore the disjoint and overlapping community structure of an integrated network for a major fungal pathogen of many cereal crops, Fusarium graminearum. The network was generated by combining sequence, protein interaction and co-expression data. We examine the functional characteristics of communities, the connectivity and multi-functionality of genes and explore the contribution of known virulence genes in community structure. Disjoint community structure is detected using a greedy agglomerative method based on modularity optimisation. The disjoint partition is then converted to a set of overlapping communities, where genes are allowed to belong to more than one community, through the application of a mathematical programming method. We show that genes that lie at the intersection of communities tend to be highly connected and multifunctional. Overall, we consider the topological and functional properties of proteins in the context of the community structure and try to make a connection between virulence genes and features of community structure. Such studies may have the potential to identify functionally important nodes and help to gain a better understanding of phenotypic features of a system.
机译：探索生物网络的社区结构可以揭示个体基因在整个生物系统背景下的角色，以了解互动的潜在机制。在这项研究中，我们探讨了许多谷物作物的主要真菌病原体的综合网络的不相交和重叠的群落结构，镰刀·克·克柳堇。通过组合序列，蛋白质相互作用和共表达数据来生成网络。我们研究社区的功能特征，基因的连通性和多功能，探讨了群落结构中已知的毒力基因的贡献。使用基于模块化优化的贪婪凝聚方法来检测不相交的社区结构。然后将脱编分区转换为一组重叠社区，通过应用数学编程方法，允许基因属于多于一个社区。我们表明位于社区交叉口的基因往往是高度相连和多功能的。总体而言，我们考虑在社区结构的背景下蛋白质的拓扑和功能性质，并试图在毒力基因和社区结构的特征之间进行联系。这些研究可能具有识别功能重要节点的潜力，并有助于更好地了解系统的表型特征。

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